Nisum redesigned the customer preference portal to collect complete data sets, offer customers greater personalization options, and lead to more accurate product recommendations.
A redesigned customer preference portal was able to collect long-term data sets and provide greater personalization options, which led to:
+4%
|
Increase in customer loyalty |
Decrease in return rate |
A Fortune 500 retailer had a customer preference portal that was only able to save data based on short-term analytic data sets and cookies, but no existing customer behavior or experiences were captured from a long-term perspective, leading to:
Decreased growth rate caused by a stagnant eCommerce conversion rate
Nisum redesigned the customer preference portal and implemented a high resiliency system, which was able to collect complete data sets and offered customers greater personalization options. This resulted in:
Incremental growth created by increased conversion rates, which were stimulated by:
A more personalized customer experience
Predicting purchasing patterns using advanced analytics and long-term customer data
Decreased return rates due to more accurate product recommendations
Decreased system downtime due to a high resiliency system that can:
Easily identify faults and their locations
Quickly recover from faults
Operate without interruption through failures
Feel free to contact us for more information on how Nisum can drive results for your company.